iPhone 16 Plus
Geekbench AI Score
4399
Single Precision Score
7536
Half Precision Score
6034
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sean233 |
| Upload Date | April 26 2025 04:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3225
599.7 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8865
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18357
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15264
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3721
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6950
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8006
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14252
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9975
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18766
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37354
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30920
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5193
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5111
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6043
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6032
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6077
105.0 IPS |
